Yang Jin

26 papers receiving 1.6k citations

Yang Jin's Hit Papers

Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study 2019 · 1.1k citations
1.1k0+2+4Years since publication2505007501000

Peers

Yang Jin
Comparison fields: 5 of 127
  • Biological Psychiatry 118
  • Behavioral Neuroscience 53
  • Applied Psychology 57
  • Cancer Research 135
  • Experimental and Cognitive Psychology 119
Replace Xiaojie Feng with:
Xiaojie Feng China
Yong Jia China
Fanfan Zhao China
Ghazaleh Fatemifar United Kingdom
Sara M. Willems United Kingdom
Anand Dhruva United States
Rashmi Patel United Kingdom
Linling Jiang China
Kristi Krebs Estonia
Jeffrey J. Kim United States
Yang Jin relative to Xiaojie Feng China Xiaojie Feng's profile →
Citations per field
00.5×5×10×15×18.7×
Xiaojie Feng · 1×
Citations per year

Countries citing papers authored by Yang Jin

Since Specialization
Citations

This map shows the geographic impact of Yang Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Jin more than expected).

Fields of papers citing papers by Yang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang Jin. The network helps show where Yang Jin may publish in the future.

Co-authors

The 25 scholars most cited alongside Yang Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang Jin Line = papers co-authored together Yang Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study
Hit paper breakdown →
20191052
2 2017104
3 201764
4 201660
5 201749
6 201745
7
An Overview of Research on Electronic Medical Record Oriented Named Entity Recognition and Entity Relation Extraction
201436
8 200636
9 201635
10 200433
11 201621
12 202019
13 201913
14 202510
15 20197
16 20215
17 20244
18 20213
19 20102
20 20062

About Yang Jin

Yang Jin is a scholar working on Cancer Research, Oncology, Molecular Biology, Safety, Risk, Reliability and Quality and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Automotive and Human Injury Biomechanics (3 papers), Transportation Safety and Impact Analysis (3 papers), Topic Modeling (3 papers), Graphene research and applications (2 papers), Natural Language Processing Techniques (2 papers), Energy Load and Power Forecasting (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Biological Psychiatry (118 citations), Behavioral Neuroscience (53 citations), Applied Psychology (57 citations), Cancer Research (135 citations) and Experimental and Cognitive Psychology (119 citations). Yang Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Lyu, Hairong He, Qingqing Liu, Xiaojie Feng, Fanfan Zhao, Jiao Yang, Meng Lv, Yanwei Shen, Shuting Li and Mengying Wang. Their work appears in journals such as Oncotarget, International Journal of Vehicle Design, RSC Advances, Separation and Purification Technology and Structural and Multidisciplinary Optimization.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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